SMODA: Interpretable Multimodal Omics Integration for Disease Classification and Subtype Discovery via Heterogeneous Transfer Learning.

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Bibliographic Details
Title: SMODA: Interpretable Multimodal Omics Integration for Disease Classification and Subtype Discovery via Heterogeneous Transfer Learning.
Authors: Zhao J; Metabolomics Subcenter of the National Genomics Data Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China.; University of Chinese Academy of Sciences, Beijing 100049, China.; Liaoning Province Key Laboratory of Metabolomics, Dalian 116023, China., Bao H; Metabolomics Subcenter of the National Genomics Data Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China.; University of Chinese Academy of Sciences, Beijing 100049, China.; Liaoning Province Key Laboratory of Metabolomics, Dalian 116023, China., Guan P; Metabolomics Subcenter of the National Genomics Data Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China.; University of Chinese Academy of Sciences, Beijing 100049, China.; Liaoning Province Key Laboratory of Metabolomics, Dalian 116023, China., Zhao X; Metabolomics Subcenter of the National Genomics Data Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China.; University of Chinese Academy of Sciences, Beijing 100049, China.; Liaoning Province Key Laboratory of Metabolomics, Dalian 116023, China., Wang B; Metabolomics Subcenter of the National Genomics Data Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China.; University of Chinese Academy of Sciences, Beijing 100049, China.; Liaoning Province Key Laboratory of Metabolomics, Dalian 116023, China., Yan Z; Metabolomics Subcenter of the National Genomics Data Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China.; Liaoning Province Key Laboratory of Metabolomics, Dalian 116023, China.; School of Chemistry, Dalian University of Technology, Dalian 116024, China., Zhao C; Metabolomics Subcenter of the National Genomics Data Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China.; University of Chinese Academy of Sciences, Beijing 100049, China.; Liaoning Province Key Laboratory of Metabolomics, Dalian 116023, China., Zhao Y; Metabolomics Subcenter of the National Genomics Data Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China.; Liaoning Province Key Laboratory of Metabolomics, Dalian 116023, China., Lu X; Metabolomics Subcenter of the National Genomics Data Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China.; University of Chinese Academy of Sciences, Beijing 100049, China.; Liaoning Province Key Laboratory of Metabolomics, Dalian 116023, China., Xu G; Metabolomics Subcenter of the National Genomics Data Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China.; University of Chinese Academy of Sciences, Beijing 100049, China.; Liaoning Province Key Laboratory of Metabolomics, Dalian 116023, China.
Source: Analytical chemistry [Anal Chem] 2026 Apr 21; Vol. 98 (15), pp. 10997-11009. Date of Electronic Publication: 2026 Apr 10.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: American Chemical Society Country of Publication: United States NLM ID: 0370536 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1520-6882 (Electronic) Linking ISSN: 00032700 NLM ISO Abbreviation: Anal Chem Subsets: MEDLINE
Database: MEDLINE Ultimate
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